Data Professional | Data Engineering β’ Analytics β’ Machine Learning | Belgium π§πͺ
"Transforming raw data into actionable insights through pipelines, analysis, and intelligent automation"
Junior Data Engineer with hands-on experience across the full data lifecycle: ETL pipelines, exploratory analysis, ML model development, and workflow automation. Currently expanding expertise through Coursera and DataCamp while building production-ready solutions.
- π Data Analysis: Extracting insights from complex datasets using SQL, Python, and visualization tools
- π§ Data Engineering: Building scalable ETL pipelines and automating data workflows
- π€ Machine Learning: Developing predictive models and integrating AI/LLM solutions
- βοΈ Automation: Creating intelligent workflows with n8n and Airflow for efficient data operations
- π Continuous Learning: Active on Coursera & DataCamp, constantly expanding my technical toolkit
Currently seeking: Data Analyst | Data Engineer | Junior Data Scientist | ML Engineer roles in Belgium
Junior Data Engineer Intern @ MinersAI (Jan 2025 - Mar 2025)
- Designed and optimized ETL pipelines for geological data processing with Python and PySpark
- Performed exploratory data analysis on 50K+ geological records, identifying key patterns and anomalies
- Integrated LLMs to convert unstructured geological text into structured formats, improving data accessibility by 85%
- Implemented OCR + LLM solutions for extracting data from geological PDFs and maps
- Structured geospatial and vector data for AI/ML analysis using Geopandas
- Created dashboards and visualizations for data quality monitoring
Data Engineer Trainee @ BeCode (May 2024 - Dec 2024)
- Completed intensive 7-month bootcamp covering data engineering, analytics, and machine learning
- Built 8+ end-to-end projects: data pipelines, ML models, dashboards, and automated workflows
- Hands-on experience with large-scale datasets (1M+ records) and modern data stack technologies
- Conducted exploratory data analysis, feature engineering, and model evaluation
Programming & Analysis
- Python: Pandas, NumPy, Scikit-Learn, TensorFlow (advanced)
- SQL: PostgreSQL, MySQL, query optimization, complex joins (advanced)
- R: Statistical analysis, data visualization (intermediate)
- JavaScript: Data visualization, API integration (intermediate)
Data Engineering
- Pipelines: Apache Spark, PySpark, Airflow
- Automation: n8n, workflow orchestration, API integrations
- Databases: PostgreSQL, MySQL, MongoDB, Redis, SQLite
- Cloud: AWS (S3, RDS, Lambda), Google Cloud (BigQuery), Azure basics
- Tools: Docker, Git, CI/CD basics
Data Analysis & Visualization
- Analysis: Exploratory data analysis, statistical testing, A/B testing
- Visualization: Matplotlib, Seaborn, Plotly, Streamlit
- BI Tools: Power BI basics, dashboard design
- Excel: Advanced formulas, pivot tables, VBA basics
Machine Learning & AI
- ML Libraries: Scikit-Learn, TensorFlow, feature engineering
- AI Integration: LangChain, OpenAI API, Hugging Face
- Model Deployment: Flask, FastAPI, Docker, AWS Lambda
- MLOps: Model monitoring, version control, performance tracking
Continuous Learning
- Actively completing courses on Coursera and DataCamp
- Focus areas: DBT, Snowflake, Kubernetes, Advanced SQL, Cloud platforms
Natural language to SQL converter for non-technical users
- Skills: Python, OpenAI API, Streamlit, Database Design
- Impact: 95% query accuracy, <2s response time
- Role: Full-stack development, AI integration, UX design
ML-based recommendation engine with collaborative filtering
- Skills: Machine Learning, Data Analysis, Python, Flask
- Impact: 87% prediction accuracy on 10,000+ wines
- Role: Data preprocessing, model training, API deployment
End-to-end ML pipeline with feature engineering and deployment
- Skills: Machine Learning, Feature Engineering, AWS, Docker
- Impact: 92% RΒ² score, production-ready API with <200ms response
- Role: Data cleaning, model development, cloud deployment
π Document Q&A System
AI-powered document analysis with semantic search
- Skills: NLP, LangChain, Vector Embeddings, Python
- Impact: Processes 100+ pages in 30s with 92% accuracy
- Role: AI integration, backend development, optimization
βοΈ Data Automation Workflows
n8n-based intelligent automation for data processing
- Skills: Workflow automation, API integration, Python
- Impact: Reduced manual data tasks by 70%
- Role: Workflow design, integration setup, monitoring
API-based disposable email generation system
- Skills: FastAPI, Web Scraping, Python, API Design
- Impact: 99.9% uptime, 1000+ daily requests
- Role: Backend development, API documentation
Data Engineering
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ETL pipeline development and optimization
β
Data warehouse design and implementation
β
Workflow automation and orchestration
β
Database performance tuning
β
Cloud data architecture (AWS, GCP)
Data Analysis
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Exploratory data analysis (EDA)
β
Statistical analysis and hypothesis testing
β
Data visualization and storytelling
β
Business intelligence and reporting
β
SQL query optimization
Data Science & ML
β
Predictive modeling and evaluation
β
Feature engineering and selection
β
Model deployment and monitoring
β
LLM integration and AI applications
β
A/B testing and experimentation
Tools & Technologies
β
Python, SQL, R, JavaScript
β
Spark, Airflow, n8n, Docker
β
PostgreSQL, MongoDB, Redis
β
AWS, GCP, Azure basics
β
Git, CI/CD, Agile methodologies
Education
- Master's degree in Philosophy - Istanbul MSGSU, Turkey (2020-2022)
- Bachelor of Philosophy - Ankara YBU, Turkey (2013-2018)
- Minors: Psychology, Sociology
Professional Training
- Data Engineering Bootcamp - BeCode, Belgium (2024)
- Continuous Learning - Coursera & DataCamp (2024-2025)
- Focus: Advanced SQL, AWS, DBT, Snowflake, ML Engineering
Unique Perspective My philosophy background brings exceptional problem-solving skills, critical thinking, and the ability to ask the right questions when analyzing data and building solutions.
π Open to opportunities:
Data Analyst β’ Data Engineer β’ Data Scientist β’ ML Engineer β’ Analytics Engineer
πΌ Available for:
Full-time positions β’ Freelance projects β’ Technical collaborations β’ Consulting
π Location: Marche-en-Famenne, Belgium π§πͺ
Work Authorization: Fully eligible to work in Belgium/EU
Languages: English (B2) β’ French (B1)
β¨ Versatile skill set spanning the entire data lifecycle
β¨ Proven track record with real-world projects and internship experience
β¨ Continuous learner actively expanding technical expertise
β¨ Unique perspective from philosophy background enhancing problem-solving
β¨ Production-ready experience with deployed applications and pipelines
β¨ Strong communication skills for cross-functional collaboration
"Turning data into decisions, one insight at a time" π

